Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance.
Paul Kuo-Ming HuangSi-An ChenHsuan-Tien LinPublished in: CoRR (2023)
Keyphrases
- labeled data
- labeled training data
- training data
- unlabeled data
- class labels
- labeled and unlabeled data
- semi supervised learning
- semi supervised
- co training
- supervised classifiers
- unlabeled examples
- training examples
- text classification
- supervised learning
- labeled instances
- active learning
- labeled training set
- labeled examples
- sample selection bias
- transfer learning
- learning algorithm
- labeled samples
- unlabeled samples
- semi supervised classification
- labeling effort
- domain adaptation
- training set
- data points
- fully supervised
- label propagation
- semi supervised learning methods
- accurate classifiers
- probabilistic boosting tree
- text classifiers
- decision trees
- decision boundary
- supervised methods
- partially labeled data
- training samples
- text categorization
- training and test data
- unlabeled instances
- test data
- prior knowledge
- training instances
- target domain
- instance selection
- multi view
- multi label
- learning tasks
- data sets